MLHOps: Machine Learning Health Operations

MLHOps: Machine Learning Health Operations

Machine Learning Health Operations (MLHOps) is the combination of processes for reliable, efficient, usable, and ethical deployment and maintenance of machine learning models in healthcare settings. This paper provides both a survey of work in this area and guidelines for developers and clinicians t...

Full description

Saved in:
Bibliographic Details
Main Authors: Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloe Pou-Prom, Sedef Akinli-Kocak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Computational and artificial intelligence
machine learning
engineering in medicine and biology
electronic healthcare
health information management
hospitals
Online Access:https://ieeexplore.ieee.org/document/10811924/
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items